Databricks

1 month ago

Sr. Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Pre-sales tech lead for enterprise accounts, directing the technical strategy to maximize adoption of Databricks’ data and AI platform. Partners with Account Executive teams to shape value-driven outcomes, build proofs of concept, and drive ML/AI use cases across large global clients, with hands-on support from a technical team. Strong data, cloud, and programming expertise enable data-driven transformations and executive-level influence.

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Be the main technical voice for Databricks across multiple clients
•Lead customers on a transformational journey to evaluate and adopt Databricks as part of their strategy
•Implement the technical strategy in the account with a close understanding of the strategy
•Build a movement of technical champions within the account
•Align technical strategies around Databricks solutions and work with sales and technical peers to drive business outcomes

Key Requirements

•Production programming experience in Python, R, Scala or Java
•Proficiency at establishing virtual teams, and leading them to ultimate success within the account
•Experience working very large (> $1m ARR), global accounts
•Form relationships with executives and influencers
•Technical in big data, data science and cloud (Azure & AWS)

Experience:Data analyticsEnterprise softwareCloud computingAI/MLBig data

Skills:CommunicationLeadershipPresentationStakeholder managementProblem-solving

Certifications:Databricks CertificationSnowflake CertificationAWS CertificationAzure Certification

Languages:English

Tech Stack:PythonRScalaJavaAzureAWSSnowflakeDatabricks

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Sr. Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Be the main technical voice for Databricks across multiple clients
•Lead customers on a transformational journey to evaluate and adopt Databricks as part of their strategy
•Implement the technical strategy in the account with a close understanding of the strategy
•Build a movement of technical champions within the account
•Align technical strategies around Databricks solutions and work with sales and technical peers to drive business outcomes

Key Requirements

•Production programming experience in Python, R, Scala or Java
•Proficiency at establishing virtual teams, and leading them to ultimate success within the account
•Experience working very large (> $1m ARR), global accounts
•Form relationships with executives and influencers
•Technical in big data, data science and cloud (Azure & AWS)

Experience:Data analyticsEnterprise softwareCloud computingAI/MLBig data

Skills:CommunicationLeadershipPresentationStakeholder managementProblem-solving

Certifications:Databricks CertificationSnowflake CertificationAWS CertificationAzure Certification

Languages:English

Tech Stack:PythonRScalaJavaAzureAWSSnowflakeDatabricks

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn